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Private (Stochastic) Non-Convex Optimization Revisited: Second-Order
  Stationary Points and Excess Risks

Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks

20 February 2023
Arun Ganesh
Daogao Liu
Sewoong Oh
Abhradeep Thakurta
    ODL
ArXivPDFHTML

Papers citing "Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks"

10 / 10 papers shown
Title
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Daogao Liu
Kunal Talwar
109
0
0
10 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD
Noise is All You Need: Private Second-Order Convergence of Noisy SGD
Dmitrii Avdiukhin
Michael Dinitz
Chenglin Fan
G. Yaroslavtsev
26
0
0
09 Oct 2024
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
Guy Kornowski
Daogao Liu
Kunal Talwar
34
2
0
08 Oct 2024
Differentially Private Bilevel Optimization
Differentially Private Bilevel Optimization
Guy Kornowski
102
0
0
29 Sep 2024
How to Make the Gradients Small Privately: Improved Rates for
  Differentially Private Non-Convex Optimization
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
Andrew Lowy
Jonathan R. Ullman
Stephen J. Wright
41
6
0
17 Feb 2024
Differentially Private Non-Convex Optimization under the KL Condition
  with Optimal Rates
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
Michael Menart
Enayat Ullah
Raman Arora
Raef Bassily
Cristóbal Guzmán
30
2
0
22 Nov 2023
User-level Differentially Private Stochastic Convex Optimization:
  Efficient Algorithms with Optimal Rates
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
Hilal Asi
Daogao Liu
13
8
0
07 Nov 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang
Bingcong Li
K. K. Thekumparampil
Sewoong Oh
Niao He
28
11
0
14 Oct 2023
Private Convex Optimization via Exponential Mechanism
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi
Y. Lee
Daogao Liu
72
52
0
01 Mar 2022
Differentially Private Stochastic Optimization: New Results in Convex
  and Non-Convex Settings
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily
Cristóbal Guzmán
Michael Menart
39
54
0
12 Jul 2021
1